For years, AI security focused on the language model.
That made sense.
The model was the application.
Today, that's no longer true.
Modern AI systems are agents.
They connect to APIs.
They use tools.
They store memory.
They browse the web.
They coordinate workflows.
They interact with enterprise systems.
The attack surface has expanded far beyond prompt injection.
Security testing has to expand with it.
Crucible was designed around this new reality. Instead of treating an AI application as a single model, it evaluates the complete system through its production interfaces, including tools, memory, browser interactions, MCP servers, and multi-turn behavior. That approach reflects the way AI agents are actually deployed and used.
The future of AI isn't just smarter models.
It's more capable agents.
And capable agents require more comprehensive security.
Pytest for AI Agents.
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